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Microsoft, IMDA AI QuickStart for Singapore enterprises

Microsoft, IMDA AI QuickStart for Singapore enterprises
Microsoft’s AI QuickStart, backed by IMDA and UOB, aims to turn generative AI intent into production outcomes in weeks, not years. AI QuickStart targets “Digital Leaders” in Singapore—SMEs and larger non-ICT enterprises that have already built basic digital capabilities and can fund transformation—by offering a fast, structured path to deploy enterprise AI. Each engagement is designed to finish within three months with a cost cap of up to S$20,000 per project, covering cloud, compute, and professional services, which directly addresses executive concerns over unpredictable pilot spend and elongated proofs-of-concept.

ServiceNow Picks Anthropic Claude for Enterprise AI

ServiceNow Picks Anthropic Claude for Enterprise AI
ServiceNow has named Anthropic’s Claude as the default model for its Build Agent and a preferred model across the ServiceNow AI Platform, signaling a shift from AI pilots to deeply embedded, production-grade automation. Embedding Claude into that fabric gives customers an on-ramp to agentic automation—systems that can reason over context, decide, and execute tasks—without stitching together point tools. Claude becomes the default model for ServiceNow Build Agent, an AI-assisted builder for apps and automations. Embedding Claude within the ServiceNow AI Platform enables access control, usage monitoring, and compliance aligned to enterprise policies. ServiceNow aims to cut implementation timelines for customers by roughly half by using Claude to accelerate configuration, adoption, and rollout.

Disney’s $1B OpenAI Deal

Disney’s $1B OpenAI Deal
Disney will invest $1 billion in OpenAI and become Sora’s first major content licensing partner, enabling fans to generate and share short videos that feature more than 200 characters and environments from Disney, Pixar, Marvel, and Star Wars. The agreement spans three years, excludes actor likenesses and voices, and extends to ChatGPT Images for IP‑compliant image generation. Disney will adopt OpenAI APIs across products and operations, including features for Disney+ and employee productivity, and may showcase select user creations on its streaming service. This agreement formalizes licensed synthetic media at scale and accelerates the convergence of UGC, premium IP, and AI tooling.

Telus AI data-centre partnerships in Canada

Telus AI data-centre partnerships in Canada
Telus is in active talks to bring partners into its data-centre and AI business, signaling a capital-light approach to scale sovereign AI compute in Canada. Partner capital can accelerate GPU procurement, facility buildouts, and interconnect investments while aligning with customers that require sovereign environments distinct from hyperscale public clouds. Management addressed investor concerns about potential AI compute oversupply by emphasizing a modular build strategy, adding capacity in phases as demand materializes. The timing aligns with tightening data-residency requirements, heightened AI adoption, and demand for local alternatives to U.S.-centric infrastructure. This reduces stranded capital risk in a market with volatile GPU supply, rapid chip roadmaps, and evolving workload profiles.

SoftBank’s $30B OpenAI Investment Signals AI IPO Push

Databricks Integrates OpenAI GPT-5 in $100M AI Bet
SoftBank has reportedly approved the final $22.5 billion tranche of a planned $30 billion commitment to OpenAI, tied to the AI firm’s shift to a conventional for‑profit structure and a path to IPO. The investment completes a massive $41 billion financing round for OpenAI that began in April, making it one of the largest private capital raises in tech history. This funding and restructuring signal faster enterprise AI adoption, heavier infrastructure demand, and new platform dynamics that will ripple across networks, cloud, and edge. OpenAI is pushing deeper into enterprise tools, security features, and domain‑specific assistants.

Google Cloud Study: 52% Deploy AI Agents, Driving ROI

Google Cloud Study: 52% Deploy AI Agents, Driving ROI
Google Cloud’s 2025 ROI of AI study signals a step-change: AI agents are now in production at scale and delivering measurable business outcomes. The study, fielded with National Research Group across 24 countries, finds 52% of executives report their organizations already use AI agents—specialized models that can plan, reason, and take actions. Momentum is material: 39% say their company has launched more than ten agents. Executives also report faster delivery cycles, with over half moving use cases from idea to production within three to six months, up from last year. Generative AI investment continues to climb as technology costs fall.

Jio at IMC 2025: AI, Safety and 6G Roadmap

Jio at IMC 2025: AI, Safety and 6G Roadmap
At India Mobile Congress 2025, Jio framed a broad agenda that ties devices, networks, AI skills, and safety into a national-scale digital strategy. The message from Jio’s chairman was clear: India’s telecom flywheel now spans the full value chain, from semiconductors and device platforms to fraud management and the next wave of 6G research. Telcos are shifting from pure connectivity to platform businesses that bundle devices, cloud access, security, and AI services. JioPC is positioned as an “AI-ready” computer that turns any screen into a managed endpoint, delivered through a subscription model.

Telia and SJ Partner on 5G, IoT and Rail Resilience

Telia and SJ Partner on 5G, IoT and Rail Resilience
Sweden’s largest passenger rail operator SJ is consolidating its communications estate with Telia to accelerate 5G, IoT, and crisis-readiness across trains, stations, depots, and corporate operations. The partnership positions Telia as SJ’s primary provider for nationwide mobile and fixed communications, combining public 5G/LTE coverage with managed services that support day‑to‑day rail operations and passenger experience. For passengers, more consistent Wi‑Fi backhaul and seamless digital services are the immediate wins; for operations, the prize is reliability and faster recovery when incidents occur. European operators are scaling beyond discrete connectivity pilots toward platforms that unify onboard systems, station sensors, and back‑office analytics.

California SB 53: AI Safety Law for Frontier Models

California SB 53: AI Safety Law for Frontier Models
California has enacted SB 53, a first-of-its-kind AI safety law aimed at large model developers, with ripple effects for enterprises that build, buy, or operate AI at scale. SB 53 targets “frontier” AI developers—think OpenAI, Anthropic, Meta, and Google DeepMind—requiring public transparency on how they apply national and international standards and industry best practices. It institutionalizes safety incident reporting to California’s Office of Emergency Services and extends protections for whistleblowers who surface material risks. The California Department of Technology will recommend updates annually, ensuring the regime evolves with the tech.

Databricks Integrates OpenAI GPT-5 in $100M AI Bet

Databricks Integrates OpenAI GPT-5 in $100M AI Bet
Databricks is adding OpenAI’s newest foundation models to its catalog for use via SQL or API, alongside previously introduced open-weight options gpt-oss 20B and 120B. Customers can now select, benchmark, and fine-tune OpenAI models directly where governed enterprise data already lives. The move raises the stakes in the race to make generative AI a first-class, governed workload inside data platforms rather than an external service tethered by integration and compliance gaps. For telecom and enterprise IT, it reduces friction for AI agents that must safely traverse customer, network, and operational data domains.

Beyond Buzzwords: How AI Drives Real Results in Telecom

Beyond Buzzwords: How AI Drives Real Results in Telecom
This article argues that AI is revolutionizing the telecom industry, offering significant cost savings, improved network performance, and enhanced customer experiences. It highlights AI's ability to optimize networks, detect fraud, and improve customer service. The article emphasizes the importance of selecting the right AI solution, focusing on tailored, secure, cost-effective, and compliant models. Ultimately, it positions AI as a crucial tool for telecom companies to thrive in a competitive landscape by automating tasks, improving efficiency, and prioritizing customer satisfaction.

India Telecom AI Governance: TRAI and MeitY Updates

India Telecom AI Governance: TRAI and MeitY Updates
India's AI oversight for telecom is moving from recommendations to implementation, with policy review and technical workstreams running in parallel. The Telecom Regulatory Authority of India has issued recommendations on leveraging artificial intelligence and big data in telecom, including the creation of an independent statutory authority for AI governance. The proposed Artificial Intelligence and Data Authority of India (AIDAI) is envisioned to promote responsible AI development and regulate sectoral use cases. The Ministry of Electronics and Information Technology has initiated projects with research bodies and universities focused on how to ensure and test AI trustworthiness.

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